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ROS Robotics Projects,

You're reading from   ROS Robotics Projects, Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838649326
Length 456 pages
Edition 2nd Edition
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Author (1):
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Ramkumar Gandhinathan Ramkumar Gandhinathan
Author Profile Icon Ramkumar Gandhinathan
Ramkumar Gandhinathan
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with ROS FREE CHAPTER 2. Introduction to ROS-2 and Its Capabilities 3. Building an Industrial Mobile Manipulator 4. Handling Complex Robot Tasks Using State Machines 5. Building an Industrial Application 6. Multi-Robot Collaboration 7. ROS on Embedded Platforms and Their Control 8. Reinforcement Learning and Robotics 9. Deep Learning Using ROS and TensorFlow 10. Creating a Self-Driving Car Using ROS 11. Teleoperating Robots Using a VR Headset and Leap Motion 12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos 13. Other Books You May Enjoy

Introduction to the multimaster concept

To understand the multimaster concept, let's consider an industry use case, as shown in the following diagram:

Industry robot use case

Imagine that we have robots such as our robot manipulator (which we created in Chapter 3, Building an Industrial Mobile Manipulator) working toward loading and unloading goods and we have at least five such robots doing this. Also, imagine that there are a few robot arms that are working along with machines for tending applications, such as loading onto the machining area and then onto the conveyor and unloading for delivery. Finally, there is a central system that monitors all of these robots' tasks and health. For such a setup, there are multiple local networks that would connect to a common network (which is where the central system sits).

There is a mechanism defined in ROS that can help us...

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